Cluster and Grid Computing - A masters level course offerred at the University of Melbourne. The IEEE/ACM Computing Curriculum 2001 has recognised the importance of net-centric computing (parallel and distributed computing) and recommended/proposed the introduction of cluster computing at senior under-graduate or post graduate level.
A coverage of topics in these two fields is discussed below: Cluster Computing (Parallel systems) and Grid Computing (wide-area parallel and distributed computing).
GlobusWORLD - GlobusWORLD 2005 will be held in Boston, February 7-11, 2005. The conference will be held at the Sheraton Boston, the largest hotel in New England. The conference featured parallel plenary sessions of Globus Toolkit and Grid-related content for attendees from both industry and science.
Grid 2004 - 5th IEEE/ACM International Workshop on Grid Computing - November 8, 2004, Pittsburgh, USA - Grid 2004 is an international meeting that brings together a community of researchers, developers, practitioners, and users involved with the Grid. The objective of Grid 2004 is to serve as a forum to present current and emerging work as well as to exchange research ideas in this field.
The previous events that are part of this series of events were Grid 2000, Bangalore, India; Grid 2001, Denver, CO; Grid 2002, Baltimore, MD; Grid 2003, Phoenix, USA. All of these events have been successful in attracting high quality papers and a wide international participation. The 2003 event attracted over 400 registered participants.
GridNets - GridNets 2004 will be held October 29, 2004 in San Jose, CA, USA - First Workshop on Networks for Grid Applications. The workshop will focus on research issues and challenges as well as lessons learned from experience. Technically Co-Sponsored by IEEE Communication Society.
International Conference on Parallel Processing (ICPP 2005) - The conference provides a forum for engineers and scientists in academia, industry and government to present their latest research findings in any aspects of parallel and distributed computing. Held at the Georg Sverdrups House, Univ. of Oslo, Norway, June 14-17, 2005
International Parallel and Distributed Processing Symposium (IPDPS) - IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of parallel computation. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, an industrial track, and commercial exhibits.
NCSA Training - This page provides information about training opportunities offered by NCSA to assist computational scientists in meeting their research goals. The calendar lists upcoming workshops and Institutes on topics such as Computational Science, Reconfigurable Systems, High-performance Computing, Multi-core Technology, and others. The calendar is continually updated to reflect emerging training opportunities. There are also web-based HPC tutorials available.
Workshop on Web and Grid Services for Scientific Data Analysis (WAGSSDA) - To be held in conjunction with the 2005 International Conference on Parallel Processing (ICPP-2005), Oslo, Norway, June 14-17, 2005. Two concurrent processes are leading to potential changes in the way scientific data analysis is undertaken. First, many of the ideas from the world of the Grid are being transformed into a layer on top of Web Services. Second, a large amount of scientific data is becoming accessible through the Internet. Today, many scientific researchers are exploring these concepts to see if they can satisfy their data analysis needs. n the other hand, simple web-based technologies have transformed Web pages in powerful and dynamic content, which are being further enhanced by emerging Web Services. Many feel that grid services may be the solution that will allow the Grid to realize its potential, through use of Web Services. The goal of this workshop is to cross-fertilize these areas, and to discuss components and services used in processing and data, as well as systems that combine both, all in the context of scientific data analysis.
DACS Gold Practice Initiative
